Kubernetes for Developers Online Course

Kubernetes for Developers Online Course

This course is designed to give application developers and DevOps professionals a comprehensive understanding of Kubernetes. Starting with the fundamentals of containers and Docker, you will progress to Kubernetes architecture, cluster management, and real-world deployments.

Knowledge gained

Through hands-on exercises and real-world examples, you will learn how to create, manage, and scale applications in Kubernetes clusters. The course also covers advanced Kubernetes concepts such as networking, storage, security, batch processing, and AWS integration. By the end of the course, you will have the skills required to deploy applications on Kubernetes efficiently, both locally and on AWS Elastic Kubernetes Service (EKS).

Key Benefits

• Comprehensive Kubernetes training from basic to advanced concepts.
• Step-by-step guidance for setting up Kubernetes clusters locally and on the cloud.
• Hands-on learning with real-world projects and exercises.
• Integration with AWS Elastic Kubernetes Service (EKS) for practical cloud deployments.
• Learn how to scale, manage, and troubleshoot Kubernetes applications.
• Master Kubernetes networking, services, Ingress, and workload management.
• Gain expertise in ConfigMaps, Secrets, Persistent Volumes, and StatefulSets.

Target Audience

This course is ideal for:

• Application developers who want to deploy and manage containerized applications in Kubernetes.
• DevOps professionals and software engineers who need Kubernetes for automation and orchestration.
• Cloud engineers looking to integrate Kubernetes into cloud environments like AWS.
• Computer science students eager to learn Kubernetes fundamentals and architecture.

Prerequisites:

• Basic understanding of containers and Docker.
• Familiarity with the command-line interface (CLI).
• General knowledge of cloud computing (AWS preferred but not mandatory).

Learning Objectives

By completing this course, you will:

• Understand how containers work and how to manage Docker images.
• Learn the fundamentals of Kubernetes architecture and its core components.
• Deploy, manage, and scale applications in Kubernetes clusters.
• Use Kubernetes services and Ingress for networking and external connectivity.
• Configure replication, rolling updates, and workload scaling with Deployments.
• Implement batch jobs, scheduled workflows, and secret management.
• Manage storage using PersistentVolumes, PersistentVolumeClaims, and StatefulSets.
• Deploy applications on AWS Elastic Kubernetes Service (EKS) with load balancing.

Course Content Overview

The Kubernetes for Developers Exam covers the following topics - 

Domain 1. Introduction to the Course

• Overview of the course structure and learning roadmap.
• How to follow the course effectively for maximum learning.

Domain 2. Understanding Containers and Docker Basics

• Learning what containers are and why they are essential in modern development.
• Installing Docker and running containerized applications.
• Understanding Docker images and how to create and manage them.
• Establishing communication between multiple containers.
• Exploring volumes and storage options in containers.
• Using Docker Compose to manage multiple containerized services.

Domain 3. Core Concepts of Kubernetes

• Understanding what Kubernetes is and why it was created.
• Exploring the components of the Kubernetes control plane.
• Learning what a Pod is and how it relates to containers.
• Walking through the Pod lifecycle and its various states.
• Introduction to Kubernetes Namespaces and Manifest Files.

Domain 4. Setting Up Your First Kubernetes Environment

• Installing a local Kubernetes cluster using Minikube.
• Learning basic kubectl commands to manage clusters.
• Creating your first Kubernetes Pod using kubectl.

Domain 5. Managing the Pod Lifecycle in Kubernetes

• Deploying a REST API within Kubernetes.
• Understanding Init containers and their role in application startup.
• Exploring Liveness Probe to check the health of running Pods.
• Using Startup Probe to monitor application readiness.
• Implementing Post-Start and Pre-Stop hooks for better lifecycle management.

Domain 6. Accessing Kubernetes Pods Through Services

• Understanding Kubernetes Services and their importance.
• Exploring different service types:
• ClusterIP Service for internal communication.
• NodePort Service for exposing applications externally.
• LoadBalancer Service for distributing traffic.
• Headless Service for direct access to backend Pods.

Domain 7. Using Ingress for External Traffic Routing

• Understanding the difference between Ingress and Services.
• Installing an Ingress Controller in Minikube.
• Creating Ingress rules to route traffic to specific services.
• Exploring various traffic routing strategies using Ingress.

Domain 8. Managing Kubernetes Workloads with Deployments and ReplicaSets

• Understanding what ReplicaSets are and how they maintain desired Pod states.
• Learning about Deployments and how they manage application rollouts.
• Exploring the process of rolling out updates and rolling back failed deployments.
• Configuring different rollout strategies for stability and high availability.

Domain 9. Running Batch Workflows in Kubernetes

• Exploring the Job resource to run tasks inside Kubernetes.
• Using CronJobs for scheduled automated tasks.

Domain 10. Managing Configurations and Secrets in Kubernetes

• Understanding ConfigMaps and their role in application configuration.
• Exploring Secret resources for managing sensitive information.
• Learning best practices for handling Secrets in Kubernetes.

Domain 11. Storage Management in Kubernetes

• Exploring Ephemeral Volumes for temporary data storage.
• Understanding PersistentVolumes (PVs), PersistentVolumeClaims (PVCs), and StorageClasses (SCs).
• Hands-on demo for working with PVs, PVCs, and SCs.
• Learning about StatefulSets for managing stateful applications.

Domain 12. Deploying Kubernetes Applications on AWS Elastic Kubernetes Service (EKS)

• Step 1: Creating an EKS cluster and adding worker nodes.
• Step 2: Connecting to the EKS cluster using kubectl.
• Step 3: Deploying an application on EKS.
• Step 4: Exposing the application through a Network Load Balancer (NLB).
• Step 5: Configuring an Application Load Balancer (ALB) for enhanced traffic routing.
• Step 6: Cleaning up resources to optimize cloud costs.